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1. WO2006099339 - A FIBER COHERENCE INDEX APPARATUS AND METHOD FOR IMAGING AND CHARACTERIZING FIBROUS STRUCTURES

Publication Number WO/2006/099339
Publication Date 21.09.2006
International Application No. PCT/US2006/008973
International Filing Date 10.03.2006
Chapter 2 Demand Filed 02.02.2007
IPC
G06K 9/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
CPC
G01R 33/56341
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
44using nuclear magnetic resonance [NMR]
48NMR imaging systems
54Signal processing systems, e.g. using pulse sequences ; , Generation or control of pulse sequences
56Image enhancement or correction, e.g. subtraction or averaging techniques ; , e.g. improvement of signal-to-noise ratio and resolution
563of moving material, e.g. flow contrast angiography
56341Diffusion imaging
G06T 2207/10092
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10072Tomographic images
10088Magnetic resonance imaging [MRI]
10092Diffusion tensor magnetic resonance imaging [DTI]
G06T 2207/30016
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
30Subject of image; Context of image processing
30004Biomedical image processing
30016Brain
G06T 2207/30096
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
30Subject of image; Context of image processing
30004Biomedical image processing
30096Tumor; Lesion
G06T 7/0012
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
0002Inspection of images, e.g. flaw detection
0012Biomedical image inspection
Applicants
  • THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS [US]/[US] (AllExceptUS)
  • ZHOU, Xiaohong, Joe [US]/[US] (UsOnly)
Inventors
  • ZHOU, Xiaohong, Joe
Agents
  • HALDIMAN, Robert, C.
Priority Data
60/662,06414.03.2005US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) A FIBER COHERENCE INDEX APPARATUS AND METHOD FOR IMAGING AND CHARACTERIZING FIBROUS STRUCTURES
(FR) DISPOSITIF PRODUISANT UN INDICE DE COHERENCE DES FIBRES ET PROCEDE PERMETTANT DE PRODUIRE UNE IMAGE DE STRUCTURES FIBREUSES ET DE CARACTERISER CES DERNIERES
Abstract
(EN)
A method to process a diffusion tensor imaging (DTI) dataset includes the steps of: acquiring a set of diffusion-weighted images with varying diffusion-weighing gradient directions; acquiring an additional image without a diffusion-weighting gradient, or acquiring a second set of diffusion-weighted images with varying diffusion-weighing gradient directions; calculating the diffusion tensor matrix at each and every voxel location based on the images acquired; calculate the principal eigenvector from the said diffusion tensor matrix at each and every pixel location; computing a fiber coherence index (FCI) for a given voxel, based on directional coherence between the said voxel and the vocels close to it; said computing is performed using the principal eigenvector; computing a regional fiber coherence index (r-FCI) by averaging individual FCI within a region of interest.
(FR)
L'invention concerne un procédé permettant de traiter un ensemble de données d'imagerie du tenseur de diffusion (DTI), consistant : à acquérir un ensemble d'images pondérées en diffusion avec des directions de gradient de pondération en diffusion variables ; à acquérir une image supplémentaire sans un gradient de pondération de diffusion ou à acquérir un second ensemble d'images pondérées en diffusion avec des directions de gradient de pondération de diffusion variables ; à calculer la matrice de tenseur de diffusion pour chaque emplacement de voxel sur la base des images acquises ; à calculer le vecteur propre principal à partir de ladite matrice de tenseur de diffusion pour chaque emplacement de pixel ; à calculer un indice de cohérence des fibres (FCI) pour un voxel donné, sur la base de la cohérence directionnelle entre ledit voxel et les voxels adjacents, ledit calcul étant réalisé à l'aide du vecteur propre principal ; et à calculer un indice de cohérence de fibre régional (r-FCI) par calcul de la moyenne de chaque FCI dans une région d'intérêt.
Also published as
EP6738079
Latest bibliographic data on file with the International Bureau